Top Software Engineer Jobs in San Diego, CA

Leads the technical design and delivery of full-stack web features for AI products, spanning data models, APIs, responsive interfaces, testing, deployment, cloud infrastructure, and ongoing operations. Builds and optimizes Python API applications, integrates Azure data and DevOps services, improves system reliability and performance, and supports security and CI/CD practices. Partners with product, design, data science, and machine learning teams while mentoring engineers and guiding architectural decisions.

Build and ship end-to-end product features across an author analytics dashboard, marketing site, free tools, billing, email, and AI-assisted functionality. Design data models and APIs, integrate third-party services, develop production LLM features, and maintain testing, monitoring, performance, and observability. The role includes code review, technical documentation, independent product decisions, and close collaboration with the founder in a remote-first environment.

Build and scale global payments and treasury systems using resilient, event-driven, microservice-based architecture. Design and implement cloud-native services, client-facing APIs, distributed systems, payment rails, financial ledgers, and reconciliation solutions. Collaborate independently and across teams, troubleshoot complex issues, maintain high-quality tested code, and contribute to technical and product goal definition.

Full-time remote engineering internship with Product Engineering and AI/ML Engineering tracks. Interns may build and optimize scalable product features, contribute to architecture and design decisions, develop data pipelines and machine learning models, deploy AI applications, and integrate LLM-powered capabilities into Chess.com products. Applicants should be enrolled students or equivalent bootcamp participants with strong communication, ownership, teamwork, and relevant programming, database, machine learning, or AI experience.

Develop, scale, and maintain core backend APIs within a TypeScript/NestJS monolith for supply chain modules (OMS, WMS, MES). Implement secure payment and logistics integrations, caching with Redis, async/event-driven workflows, and observability (OpenTelemetry, Prometheus, Loki). Support AI agent orchestration and ensure transactional integrity using PostgreSQL.

Build, test, deploy, and support production software using .NET/C#, React or Next.js, cloud platforms, databases, observability, and modern architecture patterns. Incorporate Claude Code, Gemini CLI, AI agents, MCP, and automation into structured engineering workflows while validating AI-generated output. Own delivery from planning through production, implement secure integrations and testing, document architectural decisions, troubleshoot systems, identify risks, and mentor engineers on responsible AI adoption.

Design and scale highly available backend services for an AI-powered manufacturing platform. Build AWS-based event-driven systems with Node.js, REST/GraphQL APIs, and database integrations. Use AI coding agents while validating correctness, write tests and documentation, improve observability and reliability, debug production issues, and collaborate with product, frontend, and infrastructure teams. Contribute to technical design, code reviews, engineering best practices, and responsible adoption of AI-assisted development.

Develop and maintain scalable Salesforce solutions using Apex, triggers, asynchronous operations, SOQL/SOSL, and Lightning Web Components. Build REST and SOAP integrations, translate business requirements into secure architectures, troubleshoot Salesforce applications, and collaborate with admins, architects, and stakeholders. Apply version control, deployment, testing, and Salesforce best practices while staying current with platform releases.

Develop and maintain internal applications and AI agents using Microsoft Power Platform, APIs, databases, Copilot Studio, and Azure. Support Agile delivery, automated testing, enterprise integrations, conversational AI, intelligent automation, security and compliance standards, performance monitoring, documentation, and cross-functional solution design. The role is remote with occasional travel and offers foundational development experience.

Designs and directs development of scalable software systems using AI-assisted engineering practices. Owns architecture, APIs, data models, testing strategy, security, reliability, observability, deployment, and production operations. Decomposes work for AI agents, validates generated code and tests, leads incident response, and coaches engineers on effective AI-enabled development. Requires full-stack experience, modern server-side development, event-driven systems, cloud infrastructure, regulated-data security, and production use of agentic AI.